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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 5006
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    Explanations

    sentences that emphasize or reiterate a key point

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "point" or central arguments being made in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WIND
    -0.75
    NetMessage
    -0.73
     Carbuncle
    -0.73
    aband
    -0.73
     Seym
    -0.71
    ufact
    -0.70
    uthor
    -0.69
    artney
    -0.67
    igion
    -0.66
    arus
    -0.65
    POSITIVE LOGITS
    lessness
    0.87
     Reyes
    0.86
    lessly
    0.79
     moot
    0.78
    points
    0.73
    y
    0.72
    iasis
    0.71
     Dull
    0.71
    point
    0.69
     guard
    0.68
    Activations Density 0.027%

    No Known Activations